learning_rate: 6e-06
train_batch_size: 4
eval_batch_size: 4
seed: 1337
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy Targeted	F1 Macro Targeted	F1 Weighted Targeted	F1 Macro Total	F1 Weighted Total
0.6578	1.0	7422	3.0216	0.7111	0.5697	0.6574	0.5697	0.6574
0.5273	2.0	14844	3.1558	0.7111	0.5630	0.6534	0.5630	0.6534
0.3143	3.0	22266	3.3019	0.7044	0.6082	0.6773	0.6082	0.6773
0.2149	4.0	29688	4.0928	0.7067	0.5980	0.6723	0.5980	0.6723
0.1802	5.0	37110	4.2521	0.6933	0.5742	0.6543	0.5742	0.6543
0.1255	6.0	44532	4.7555	0.7067	0.5757	0.6595	0.5757	0.6595
0.0707	7.0	51954	5.0235	0.7089	0.5945	0.6711	0.5945	0.6711
0.0805	8.0	59376	5.4806	0.6889	0.5814	0.6568	0.5814	0.6568

iTroned/self_iterative_v1_targeted_iteration_2

self_iterative_v1_targeted_iteration_2